Frédéric Labrosse

455 citations
46 papers · 332 · h-index 10

Impact in

Papers in

Frédéric Labrosse

41 papers receiving 313 citations

Peers

Frédéric Labrosse
Comparison fields: 5 of 75
  • Computer Vision and Pattern Recognition 224
  • Space and Planetary Science 11
  • Geology 42
  • Aerospace Engineering 156
  • Computer Graphics and Computer-Aided Design 18
Replace Sharathchandra Pankanti with:
Sharathchandra Pankanti United States
Carlos J. Ogáyar Spain
Julius Schöning Germany
Alessandro Gallo Italy
Stefan Maierhofer Austria
Dean Brown United Kingdom
Fabian Langguth Germany
Λάζαρος Γραμματικόπουλος Greece
Luis López-Fernández Spain
Gabriele Peters Germany
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Citations per year

Countries citing papers authored by Frédéric Labrosse

Since Specialization
Citations

This map shows the geographic impact of Frédéric Labrosse's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Frédéric Labrosse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Labrosse more than expected).

Fields of papers citing papers by Frédéric Labrosse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frédéric Labrosse. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Frédéric Labrosse. The network helps show where Frédéric Labrosse may publish in the future.

Co-authors

The 25 scholars most cited alongside Frédéric Labrosse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Frédéric Labrosse Line = papers co-authored together Frédéric Labrosse links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200660
2 200740
3 200928
4 201523
5 200516
6
Visual local navigation using warped panoramic images
200613
7 201312
8 201312
9 201412
10 200811
11 20179
12 20008
13 20097
14 20047
15 20205
16 20145
17 20125
18
Towards Continuous Image Representations
20014
19 20134
20 20174

About Frédéric Labrosse

Frédéric Labrosse is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Geology, Automotive Engineering and Computer Graphics and Computer-Aided Design, having authored 46 papers that have together received 332 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (17 papers), Advanced Vision and Imaging (16 papers), Advanced Image and Video Retrieval Techniques (13 papers), 3D Surveying and Cultural Heritage (10 papers), Autonomous Vehicle Technology and Safety (6 papers), Computer Graphics and Visualization Techniques (6 papers), Conservation Techniques and Studies (4 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (224 citations), Space and Planetary Science (11 citations), Geology (42 citations), Aerospace Engineering (156 citations) and Computer Graphics and Computer-Aided Design (18 citations). Frédéric Labrosse has collaborated with scholars based in United Kingdom, Switzerland and Canada. Frequent co-authors include Richard Lucas, Peter Bunting, Helen Cabot Miles, Jonathan C. Roberts, Mark Neal, Bernard Tiddeman, Andrew T. Wilson, Philip Willis, Mackenzie R. Neal and Ben Edwards. Their work appears in journals such as Journal of Field Robotics, Neurocomputing, Journal on Computing and Cultural Heritage, Image and Vision Computing and The Historic Environment Policy & Practice.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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